director of ai/ml research & development Jobs in Bangalore

director of ai/ml research & development

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associate, ml data operations, go-ai operations Jobs in Bangalore

associate, ml data operations, go-ai operations

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machine learning engineer Jobs in Bangalore

machine learning engineer

machine learning ai engineer

Aditi India

<div>
 
 
 
 
 Summary:
 
 
 You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.
 
 You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Redesign and optimize MLOps and decision platform for fraud detection
 
 
 </li>
 <li>
 
 
 Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.
 
 
 </li>
 <li>
 
 
 Collaborate with data scientists and platform engineers to automate workflow
 
 
 </li>
 <li>
 
 
 Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.
 
 
 </li>
 <li>
 
 
 Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.
 
 
 </li>
 <li>
 
 
 Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
 
 
 </li>
 <li>
 
 
 Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
 
 
 </li>
 <li>
 
 
 Will work with Core Automation team&rsquo;s Tech leads/managers closely
 
 
 </li>
 <li>
 
 
 Rebuild together with Engineer teams on our next generation risk platform (NGRP)
 
 
 </li>
 <li>
 
 
 We have a tight timeline to meet decision engine adoption plan
 
 
 </li>
 <li>
 
 
 You will be part of our pioneer working team launching our NGRP
 
 
 </li>
 </ul>
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 
 
 At least 6 years above
 
 
 </li>
 <li>
 
 
 MS above
 
 
 </li>
 <li>
 
 
 STEM only
 
 
 </li>
 <li>
 
 
 Python code, Big Query
 
 
 </li>
 <li>
 
 
 Understand the production systems architect overview
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 #AditiIndia
 
 #25-23290
 
 
 
</div>

Machine Learning/AI Engineer

SatSure

<div>
 We are looking for a Director of AI/ML R&amp;D for our Earth Observation Data Team, you will spearhead the development and implementation of cutting-edge AI and machine learning initiatives. You will lead a multidisciplinary team of data scientists, engineers, and researchers to enhance our capabilities in processing and analyzing earth observation data, delivering impactful solutions for our stakeholders.
 
 
 
 About SatSure
 
 
 
 SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
 
 
 If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Research &amp; Development: Stay informed of the latest trends and advancements in AI/ML and earth observation, driving R&amp;D initiatives that enhance our competitive edge.
 </li>
 <li>
 Technical Expertise: Provide guidance on the application of advanced machine learning algorithms and data processing techniques tailored to earth observation data.
 </li>
 <li>
 Project Execution: Oversee the full project lifecycle for AI/ML applications, from ideation and design to implementation and evaluation, ensuring timely delivery of high-quality results.
 </li>
 <li>
 Performance Metrics: Establish and monitor key performance indicators (KPIs) to assess project success and impact.
 </li>
 <li>
 Strategic Leadership: Develop and execute the strategic vision for AI/ML initiatives in earth observation, aligning with organizational goals and market needs.
 </li>
 <li>
 Team Management: Lead and mentor a diverse team of professionals, fostering a collaborative and innovative environment that encourages professional growth.
 </li>
 <li>
 Collaboration: Partner with internal stakeholders and external organizations to identify opportunities for AI/ML integration and innovation.
 </li>
 <li>
 Stakeholder Communication: Effectively communicate technical concepts and project outcomes to non-technical stakeholders, translating data insights into actionable strategies.
 </li>
 <li>
 Partnership Development: Cultivate relationships with academic institutions, industry leaders, and research organizations to foster collaboration and knowledge sharing.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Environmental Science, or a related field.
 </li>
 <li>
 10+ years of experience in AI/ML, with at least 5 years in a leadership role.
 
 
 </li>
 </ul>
 
 Must-have
 
 
 
 <ul>
 <li>
 Proven track record of successful project management and team leadership.
 </li>
 <li>
 Strong expertise in machine learning algorithms, data analysis, and earth observation technologies.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex concepts to diverse audiences.
 </li>
 <li>
 Experience with large datasets and data management practices.
 </li>
 <li>
 Passion for leveraging technology in Agriculture, Infrastructure, and Utilities along with addressing environmental challenges.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Dedicated allowances for learning and skill development
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Assessment
 </li>
 <li>
 Presentation
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
</div>

Director of AI/ML Research & Development

<div>
 
 We are looking for a Director of AI/ML R&amp;D for our Earth Observation Data Team, you will spearhead the development and implementation of cutting-edge AI and machine learning initiatives. You will lead a multidisciplinary team of data scientists, engineers, and researchers to enhance our capabilities in processing and analyzing earth observation data, delivering impactful solutions for our stakeholders.
 
 
 
 
 
 
 
 About SatSure:
 
 
 
 
 SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
 
 
 
 
 
 If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 Research &amp; Development:
 
 Stay informed of the latest trends and advancements in AI/ML and earth observation, driving R&amp;D initiatives that enhance our competitive edge.
 </li>
 <li>
 
 Technical Expertise:
 
 Provide guidance on the application of advanced machine learning algorithms and data processing techniques tailored to earth observation data.
 </li>
 <li>
 
 Project Execution:
 
 Oversee the full project lifecycle for AI/ML applications, from ideation and design to implementation and evaluation, ensuring timely delivery of high-quality results.
 </li>
 <li>
 
 Performance Metrics:
 
 Establish and monitor key performance indicators (KPIs) to assess project success and impact.
 </li>
 <li>
 
 Strategic Leadership:
 
 Develop and execute the strategic vision for AI/ML initiatives in earth observation, aligning with organizational goals and market needs.
 </li>
 <li>
 
 Team Management:
 
 Lead and mentor a diverse team of professionals, fostering a collaborative and innovative environment that encourages professional growth.
 </li>
 <li>
 
 Collaboration:
 
 Partner with internal stakeholders and external organizations to identify opportunities for AI/ML integration and innovation.
 </li>
 <li>
 
 Stakeholder Communication:
 
 Effectively communicate technical concepts and project outcomes to non-technical stakeholders, translating data insights into actionable strategies.
 </li>
 <li>
 
 Partnership Development:
 
 Cultivate relationships with academic institutions, industry leaders, and research organizations to foster collaboration and knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Environmental Science, or a related field.
 </li>
 <li>
 10+ years of experience in AI/ML, with at least 5 years in a leadership role.
 </li>
 </ul>
 
 
 
 
 
 
 Must-have:
 
 
 
 
 
 
 <ul>
 <li>
 Proven track record of successful project management and team leadership.
 </li>
 <li>
 Strong expertise in machine learning algorithms, data analysis, and earth observation technologies.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex concepts to diverse audiences.
 </li>
 <li>
 Experience with large datasets and data management practices.
 </li>
 <li>
 Passion for leveraging technology in Agriculture, Infrastructure, and Utilities along with addressing environmental challenges.
 </li>
 </ul>
 
 
 
 
 
 
 Benefits:
 
 
 
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Dedicated allowances for learning and skill development
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Assessment
 </li>
 <li>
 Presentation
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
</div>

Property Finder

<div>
 
 
 DUBAI BASED ROLE.
 
 Relocation would be required but with highly competitive, tax free salary package.
 
 
 
 
 
 
 
 
 
 Company Profil
 
 e:
 
 
 
 
 <ul>
 <li>
 Property Finder is the leading digital real estate platform in the Middle East and North Africa region.
 </li>
 <li>
 A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, Egypt and Turkey over the years
 </li>
 <li>
 The company is one of the largest technology start-ups in the region and Tech Unicorn.
 </li>
 </ul>
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are seeking an accomplished
 
 Senior Data Scientist
 
 with deep expertise in
 
 Generative AI
 
 , and solid foundations in
 
 ML Engineering
 
 to join our forward-thinking AI &amp; Data Science team. You will play a pivotal role in leading cutting-edge AI initiatives, scaling data-driven strategies, and shaping the future of AI at Property Finder.
 
 
 
 
 
 This senior role requires strong technical and research depth, a collaborative mindset, and a proven ability to translate business challenges into impactful AI solutions. You will also act as a mentor to junior scientists and influence strategic decision-making across the company.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques.
 </li>
 <li>
 Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI&mdash;pioneering new applications such as enhanced personalization, lead qualification, content generation, and workflow automation.
 </li>
 <li>
 Own the end-to-end ML lifecycle: from hypothesis generation, experimentation, evaluation, and explainability, to scalable deployment in production systems.
 </li>
 <li>
 Develop and enforce rigorous evaluation and monitoring pipelines, including A/B testing, drift detection, and model fairness/robustness.
 </li>
 <li>
 Guide the development of advanced analytics and visualization solutions to support strategic business decisions at scale.
 </li>
 <li>
 Collaborate closely with engineering teams to ensure resilient, low-latency, and production-grade deployment of AI systems.
 </li>
 <li>
 Embed trust, transparency, and auditability in all models&mdash;ensuring alignment with ethical AI and governance frameworks.
 </li>
 <li>
 Stay abreast of the latest in AI research and industry trends to keep our technology stack at the forefront.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 
 
 
 <ul>
 <li>
 Act as a technical leader and mentor for junior team members, fostering a culture of excellence, innovation, and continuous learning.
 </li>
 <li>
 Collaborate with Data Platform and Engineering teams to optimize model deployment pipelines and infrastructure.
 </li>
 <li>
 Partner with Product, Strategy, Commercial, and Executive stakeholders to define AI roadmaps, align on business priorities, and communicate insights effectively.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s or PhD in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 5+ years of experience in applied data science or machine learning engineering roles.
 </li>
 <li>
 Proven track record of deploying models in production environments with measurable business impact.
 </li>
 <li>
 Experience guiding junior data scientists or leading end-to-end ML projects independently.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 Expertise in supervised/unsupervised learning, deep learning (CNNs, RNNs, transformers), and statistical modeling.
 </li>
 <li>
 Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning libraries (PyTorch or TensorFlow).
 </li>
 <li>
 Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Experience integrating ML models via APIs and embedding AI in enterprise systems.
 </li>
 <li>
 Deep knowledge of cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with ML pipelines, model registries, CI/CD, Git-based version control, and production monitoring.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Exceptional communication and stakeholder management skills across technical and non-technical audiences.
 </li>
 <li>
 Strategic thinking with the ability to connect AI/ML capabilities to core business goals.
 </li>
 <li>
 Demonstrated ability to thrive in a fast-paced, collaborative, and dynamic environment.Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Senior Data Scientist (Based in Dubai)

Infosys

<div>
 <ul>
 <li>
 Proficiency in programming languages such as Python.
 </li>
 <li>
 Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Strong understanding of machine learning algorithms and statistical methods.
 </li>
 <li>
 Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation.
 </li>
 <li>
 Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets.
 </li>
 <li>
 Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency.
 </li>
 <li>
 Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related areas.
 </li>
 <li>
 Data Analysis and Insights: Analyze large datasets to extract actionable insights and support data-driven decision-making.
 </li>
 <li>
 Collaborate with Teams: Work closely with product owners, data scientists, and engineers to integrate AI solutions into platform and services.
 </li>
 <li>
 Research and Innovation: Stay updated with the latest advancements in AI and analytics, and apply innovative techniques to enhance our capabilities.
 </li>
 <li>
 Performance Monitoring: Monitor and evaluate the performance of AI models and continuously improve them based on feedback and new data.
 </li>
 <li>
 Documentation and Reporting: Document processes, methodologies, and results, and present findings to stakeholders.
 </li>
 <li>
 Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Experience: Minimum of 3 years of experience in AI, generative AI, and analytics.
 </li>
 </ul>
</div>

Data Science - Lead

MKS Inc.

<div>
 
 A Day in Your Life at MKS:
 
 
 
 As a Principal Supply Chain Data Scientist at the Digital Supply Chain Team, you will partner with Procurement, Category Management, Material Planning, Logistics, Finance, Lean Excellence, and IT to play in integral role in the Functional and Technical integration management of our supply chain digital enablement which aim to solve and improve some of the world&rsquo;s most complex supply chain constraints and challenges. You will effectively introduce advanced analytics capability and provide analyzing data approaches to develop and execute analytics projects to enable supply chain operations. Parameters that may be examined will include assessment of analytics solutions, enable analytics solutions, execute data analytics and modeling and generate detailed reports to provide insight to senior leaderships to support decision making. In this role, you will report to the Director, Digital Supply Chain Transformation.
 
 
 
 You Will Make an Impact By:
 
 
 
 <ul>
 <li>
 Enabling analytics platform, data integration, and modeling to provide analytics capability to advance supply chain maturity.
 </li>
 <li>
 Collecting, cleaning, and analyzing supply chain data from multiple sources, ensuring data integrity and accuracy.
 </li>
 <li>
 Developing and maintaining dashboards and reports using Power BI or reporting tools to provide actionable insights into supply chain operations.
 </li>
 <li>
 Conducting detailed analysis to assess business operations data and supply chain performance.
 </li>
 <li>
 Collaborating with cross-functional teams, including Sourcing, Category Management, Procurement, Material Planning, Logistics, Finance, and IT, to identify and mitigate supply chain constraints, and to support Robotic Process Automation (RPA) initiatives.
 </li>
 <li>
 Contributing to data science and anayltics projects for supply chain optimization, leveraging predictive/prescriptive analytics and machine learning, for instance.
 </li>
 <li>
 Communicating risk mitigation action plans and improvement ideas to executive stakeholders.
 </li>
 <li>
 Travel Requirements: Up to 15 % of Travel is required.
 
 
 </li>
 </ul>
 
 Skills You Bring:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, computer science, supply chain management or equivalent experience
 </li>
 <li>
 8+ years of related experience
 </li>
 <li>
 Detailed knowledge of analytics and data analysis tools, platform, and solutions, with a strong proficiency in Power BI, Power Automate, Excel, and SQL. Experience with other BI tools (e.g., Tableau) is a plus.
 </li>
 <li>
 Experience with data science techniques and tools (e.g., AWS, Python, R, Azure AI Studio, machine learning frameworks) and extended knowledge of Gen AI application.
 </li>
 <li>
 Experience with data science techniques and tools (e.g., Python, R, machine learning frameworks) is highly desired.
 </li>
 <li>
 Proven communication skills to engage with senior leadership level.
 </li>
 <li>
 Ability to collaborate with global and cross-functional teams, with a proven track record of taking ownership of issues.
 </li>
 <li>
 Knowledge of or ability to learn details of the semiconductor industry.
 </li>
 <li>
 Proficiency in English.
 
 
 </li>
 </ul>
 
 Preferred Skills: (Optional)
 
 
 
 <ul>
 <li>
 Extended business knowledge and business analytics experience with end-to-end supply chain operations are highly desired.
 </li>
 <li>
 Extended ERP (SAP, Oracle, or others) and advanced planning solution skills and experience are highly desired
 </li>
 <li>
 Experience manage global projects with Agile approaches from initiation to implementations.
 
 
 </li>
 </ul>
 
 Physical Demands and Working Conditions:
 
 
 
 <ul>
 <li>
 Perform activities such as sitting, standing, or typing for extended periods of time
 </li>
 <li>
 Ability to remain in a stationary position for 90% of the time
 </li>
 <li>
 Must be able to communicate information and ideas so others will understand
 </li>
 <li>
 Must be able to exchange accurate information
 </li>
 <li>
 The ability to observe documents and details at close range (within a few feet of the observer)
 </li>
 <li>
 Operates in a [professional office and/or laboratory/manufacturing] environment
 </li>
 <li>
 Constantly operates a computer and other office productivity machinery
 </li>
 <li>
 Ability to observe documents and details at close range (within a few feet of the observer)
 </li>
 </ul>
</div>

Principal Supply Chain Data Scientist

<div>
 
 Introduction
 
 
 
 IBM India since 1992 provides solutions and services spanning all major industries including financial services, healthcare, government, automotive, telecommunications and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM India from other companies in the industry.
 
 
 Business Unit Introduction
 
 
 IBM Research - India ([1] https://research.ibm.com/labs/india) invites applications for its Internship Program in Computer Science, Mathematical Sciences including AI, Hybrid Cloud and Quantum Computing at its locations in Gurgaon and Bangalore.
 
 
 References
 
 
 Visible links
 
 
 <ul>
 <li>
 https://research.ibm.com/labs/india
 
 
 </li>
 </ul>
 
 Your Role And Responsibilities
 
 
 
 Summer Internship Program is one of the major activities under the University Relation Program. IBM Research India offers Summer Internship to the bright students of leading technical Universities in India. IBM Research India provides industry experience and world class technologies to these students to show their talent. During internship students work on current projects happening in the lab, they solve problems with the help of their mentors. Idea is to give industry experience to the students and look for future employees.
 
 
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Excellent coding skills in Python (including Pandas, NumPy)
 </li>
 <li>
 Strong grasp of Data Structures, Algorithms, Problem Solving
 </li>
 <li>
 Solid foundation in Linear Algebra, Probability, and Statistics
 </li>
 <li>
 Hands-on experience with VS Code, Jupyter Notebooks, Git
 </li>
 <li>
 AI/ML Fundamentals: supervised &amp; unsupervised learning, classification, regression, neural networks, clustering
 </li>
 <li>
 Learning fundamentals and Data Manipulation/Analysis for large datasets
 </li>
 <li>
 Proficiency in AI libraries/frameworks: TensorFlow, PyTorch
 </li>
 <li>
 Experience in Deep Learning, Foundation Models, Large Language Models
 </li>
 <li>
 Familiar with Generative AI frameworks such as langchain and crew.ai
 </li>
 <li>
 Expertise in unstructured data processing
 </li>
 <li>
 Experience working with platforms such as Watsonx.ai or similar
 </li>
 <li>
 Familiarity with risks associated with AI deployments, including agents going rogue
 
 
 </li>
 </ul>
 We are looking for a talented and highly motivated engineer/scientist to contribute to our research and development efforts across multiple frontiers of AI. The candidate will work on creating efficient and scalable large language and foundation models, with a specific focus on enterprise applications. Areas of research include AI for IT automation, intersection of data and AI, agentic middleware and models, embedding and AI-based retrieval, time series foundation models, geospatial and multi-modal foundation models, GenAI security, AI for math and reasoning, and AI for software engineering.
 
 
 Eligibility Criteria
 
 
 <ul>
 <li>
 B.E. / B.Tech
 </li>
 <li>
 M.E. / M.Tech (including Dual Degree programs)
 </li>
 <li>
 Ph.D.
 </li>
 <li>
 Minimum 70% or 7.0 CGPA and above in the pursuing degree
 
 
 </li>
 </ul>
 Time Duration
 
 
 The internship will be conducted between May 2026 to August 2026, for a maximum duration of 3 months.
 
 
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 AI libraries/frameworks such as TensorFlow/PyTorch, Jupyter notebooks, Deep learning fundamentals, Data Manipulation and Analysis for large data, tools (pandas, NumPy), linear algebra, probability, statistics, Git, Containerization (Docker/Kubernetes/ Openshift)
 </li>
 </ul>
</div>

Research Intern - AI

Explore 47+ Machine learning ai engineer in Bangalore this December. Find roles across top companies and apply now to boost your career.

47 machine learning ai engineer jobs IN Bangalore

Machine Learning/AI Engineer

Director of AI/ML Research & Development

Director of AI/ML Research & Development

Senior Data Scientist (Based in Dubai)

Data Science - Lead

Principal Supply Chain Data Scientist

Research Intern - AI